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A new wave of entrepreneurs is leading a global paradigm shift towards values-driven business. This book empowers you to challenge the status quo and create value through its unique and adaptive approach to venture-building by design. Authored by a multidisciplinary team of practicing design strategists, business leaders, academics, and entrepreneurs, this hands-on guide models strategic design as a mindset for starting up: framing problems, applying methods, identifying opportunities, and creating pathways forward through futures and systems thinking. Carefully curated case studies of young impact-driven entrepreneurs along with resources, including action-based frameworks, diagrams, and templates for founders to replicate, and a reader’s checklist to enable the transformation of daily practice, will open new dimensions that amplify the global shift towards a more regenerative world and a multiverse of possibilities. Are you ready to journey to places where ideas for products, services, and experiences transform how we live and work? Then this guide is for you: the Design-Driven Entrepreneur.
This book comprehensively reviews various omics approaches like genomics, proteomics, transcriptomics, and metabolomics for understanding pulmonary disease at molecular and systems levels. The initial chapters present the pathogenesis of major pulmonary diseases, namely, obstructive diseases, restrictive diseases, vascular diseases, infectious diseases, and neoplastic carcinoma. The book chapters provide current information about the role of the microbiome and applications of medical imaging, bioinformatics tools, and databases for diagnosis and designing treatment strategies against complex lung diseases. Further, the book discusses omics technologies to identify biomarkers for the early diagnosis and prognosis of pulmonary diseases. Finally, the book elucidates the multi-omics approaches and data integration using mathematical modeling for insights into the disease etiology towards improving the prognostics and predictive accuracy of disease phenotypes.
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
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